Off the Normal Path: Learning Spatial Density Models of Node Mobility

arXiv:2411.10997 · cs.NI, cs.LG, stat.ML · Submitted 2024-11-17 · Read on arXiv

cs.NI, cs.LG, stat.ML

Submitted: 2024-11-17

Updated: 2026-08-28

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Adam — 6× in this paper · explained in 2 episodes
Generalization — 3× in this paper · explained in 13 episodes
Inverse Problem — 3× in this paper · explained in 2 episodes
Loss Function — 3× in this paper · explained in 2 episodes
Trace — 3× in this paper · explained in 2 episodes
Clustering — 2× in this paper · explained in 2 episodes
Accuracy — 1× in this paper · explained in 1 episode
Adaptive Gradient Methods — 1× in this paper · explained in 1 episode
Adversarial Training — 1× in this paper · explained in 1 episode
Core — 1× in this paper · explained in 2 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
Generative Model — 1× in this paper · explained in 2 episodes
Generative Models — 1× in this paper · explained in 2 episodes
Interpretability — 1× in this paper · explained in 15 episodes
Probabilistic Forecasting — 1× in this paper · explained in 3 episodes
Regularization — 1× in this paper · explained in 3 episodes
Reinforcement Learning — 1× in this paper · explained in 4 episodes
Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
Stochastic Gradient Descent — 1× in this paper

Sources

A Theory on Adam Instability in Large-Scale Machine Learning

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